event-related potential responses to task switching are sensitive to choice of spatial filter

event-related potential responses to task switching are sensitive to choice of spatial filter

;Aaron S. W. Wong;Aaron S. W. Wong;Patrick S. Cooper;Patrick S. Cooper;Patrick S. Cooper;Alexander C. Conley;Alexander C. Conley;Alexander C. Conley;Montana McKewen;Montana McKewen;W. Ross Fulham;W. Ross Fulham;Patricia T. Michie;Patricia T. Michie;Frini Karayanidis;Frini Karayanidis;Frini Karayanidis
Journal of enzyme inhibition and medicinal chemistry 2018 Vol. 12 pp. -
183
wong2018frontiersevent-related

Abstract

Event-related potential (ERP) studies using the task-switching paradigm show that multiple ERP components are modulated by activation of proactive control processes involved in preparing to repeat or switch task and reactive control processes involved in implementation of the current or new task. Our understanding of the functional significance of these ERP components has been hampered by variability in their robustness, as well as their temporal and scalp distribution across studies. The aim of this study is to examine the effect of choice of reference electrode or spatial filter on the number, timing and scalp distribution of ERP elicited during task-switching. We compared four configurations, including the two most common (i.e., average mastoid reference and common average reference) and two novel ones that aim to reduce volume conduction (i.e., reference electrode standardization technique (REST) and surface Laplacian) on mixing cost and switch cost effects in cue-locked and target-locked ERP waveforms in 201 healthy participants. All four spatial filters showed the same well-characterized ERP components that are typically seen in task-switching paradigms: the cue-locked switch positivity and target-locked N2/P3 effect. However, both the number of ERP effects associated with mixing and switch cost, and their temporal and spatial resolution were greater with the surface Laplacian transformation which revealed rapid temporal adjustments that were not identifiable with other spatial filters. We conclude that the surface Laplacian transformation may be more suited to characterize EEG signatures of complex spatiotemporal networks involved in cognitive control.

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213858
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10.3389/fnins.2018.00143
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